Potential Distribution and Response to Climate Change in <i>Puccinellia tenuiflora</i> in China Projected Using Optimized MaxEnt Model.

ABSTRACT: Global climate change is accelerating and human pressures are intensifying, exerting profound impacts on biodiversity and ecosystem service functions. The accurate prediction of species distributions has thus become a critical research direction in ecological conservation and restoration. This study selected Puccinellia tenuiflora, a species distributed across China, as its research subject. Utilizing 169 occurrence records and 10 environmental variables, we applied a parameter-optimized MaxEnt model to simulate the species' current and future (2050s-2090s) potential suitable habitats under the SSP126, SSP370, and SSP585 scenarios. The results identified the human footprint index (HFI, 43.3%) and temperature seasonality (Bio4, 26.9%) as the dominant factors influencing its distribut

SUBMITTER: Yang H 

PROVIDER: S-EPMC12561134 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature